Opens LinkedIn
- Employment type
- Contract
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Master’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Entry level
Job summary
Design graduate-level physics problems and develop clear, step-by-step solutions to assess AI reasoning. Evaluate AI-generated answers, contribute to physics benchmarks, and provide expert feedback to improve AI models' handling of STEM content.
Job details
Physics Masters – AI Training Specialist About The Role We're looking for Masters-level physicists to help train and evaluate some of the world's most advanced AI models. Your deep understanding of physics will directly shape how AI reasons through complex problems — from classical mechanics to quantum theory. This is a fully remote, flexible contract role designed for physicists who want to do intellectually stimulating work on their own schedule. No AI background required — just strong physics fundamentals and a sharp analytical mind. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design challenging, graduate-level physics problems to rigorously test AI reasoning and problem-solving capabilities Develop clear, well-structured solutions with step-by-step logical explanations Evaluate AI-generated responses for accuracy, depth, and quality of scientific reasoning Collaborate with research teams to build and refine benchmarks spanning undergraduate to Masters-level physics topics Provide expert feedback that directly improves how leading AI models handle STEM content Who You Are Currently pursuing or holding a Masters degree in Physics, Applied Physics, or a closely related field Strong command of advanced physics domains including mechanics, electromagnetism, thermodynamics, and more Able to communicate complex scientific concepts clearly and concisely in writing Detail-oriented and comfortable providing structured, critical feedback Self-motivated and able to work independently and asynchronously No prior AI or data annotation experience required Nice to Have Experience with data annotation, evaluation systems, or quality assessment Familiarity with AI language models or benchmarking methodologies Background in teaching, tutoring, or academic writing Why Join Us Work directly with cutting-edge AI models from top research labs Fully remote and asynchronous — work when and where it suits you Freelance flexibility: high autonomy, no micromanagement Contribute to meaningful research that shapes the future of AI in science Potential for ongoing contract renewals and expanded project involvement Engage with a global network of subject matter experts and researchers
What you’ll do
Design graduate-level physics problems and develop clear, step-by-step solutions to assess AI reasoning. Evaluate AI-generated answers, contribute to physics benchmarks, and provide expert feedback to improve AI models' handling of STEM content.
Requirements
Applicants must be pursuing or hold a master's degree in Physics, Applied Physics, or a closely related field, with strong command of advanced physics topics. They should communicate complex concepts clearly, provide structured critical feedback, and work independently; prior AI experience is not required.
Benefits
- Flexible Schedule
- Fully Remote Work
- Freelance Flexibility
- Autonomy
- Potential for Contract Renewals
- Professional Collaboration With Researchers
Listed skills
- Problem solving · Preferred
- Attention to detail · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Physics
- Classical Mechanics
- Quantum Theory
- Electromagnetism
- Thermodynamics
- Problem Solving
- Scientific Reasoning
- AI Evaluation
- Benchmark Development
- Technical Writing
- Critical Feedback
- Attention to Detail
- Independent Work
- Data Annotation
- Teaching
- Academic Writing
Job areas
- Science & Research
- Technology
- Education
- Data & Analytics
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